Stepwise regression models for estimated β-coefficients and corresponding odds for belonging to Q4 instead of Q1

LapsesSample Entropy
ORβStandard errorp-valueORβStandard errorp-value
Female sex3.621.290.27<<0.01
Age years1.030.030.01<0.01
BMI kg·m−2
ESS score1.080.070.02<0.02
AHI events·h−1
t90% per 10 min1.050.050.02<0.01
AI events·h−1
N1 %
N2 %
N3 %
Median APF min−11.310.270.11<0.02

This analysis comprises the whole population (n=567), where quartiles are defined for lapses (Q1: 0–4 lapses; Q4: over 35 lapses) and Sample Entropy (Q1: 0–0.12; Q4: over 0.71) separately. Both models are computed using the logit-link function. Models were constructed using constant starting model, Bayesian Information Criterion (BIC) as a model entering criterion and treating the response variable as a categorical variable. All models were constructed by separately inputting investigated polysomnography-based parameters. Parameters that were excluded from the final regression model based on BIC are left blank. BMI: body mass index; COPD: chronic obstructive pulmonary disease; ESS: Epworth Sleepiness Scale; AHI: apnoea–hypopnoea index; t90%: time spent under 90% saturation; AI: arousal index; N1–N3: non-rapid eye movement sleep stages 1–3; REM: rapid eye movement sleep; APF: arterial pulsation frequency.